Solution Architect, SAE
NVIDIA
NVIDIA
Join NVIDIA, a recognized world leader in AI Accelerated computing, as a Solution Architect focusing on End-to-End Infrastructure. This role is central to crafting and implementing advanced solutions across Data Centers, Solution Designs, Deep Learning, Machine Learning, and Accelerated Analytics.
As a key member of our India-based team, you will engage directly with customers nationwide. Your primary objective will be to build strong relationships, address complex technical challenges, and guide clients in developing successful solutions powered by NVIDIA's innovative platforms.
This is an exciting opportunity to influence the trajectory of AI adoption and shape the future of computing within leading industries.
Partner with field business development to expertly guide customers through the NVIDIA product sales cycle. Own the technical relationship, empowering customers to build groundbreaking solutions utilizing NVIDIA Platforms. Serve as an industry thought leader, championing the integration of NVIDIA technology into diverse architectures to support AI at scale. Act as a Subject Matter Expert (SME) for large-scale Software and Hardware Solution Design across AI and Cloud domains. Provide expert pre-sales support for network, cloud, big-data/analytics sizing, and large-scale enterprise solutions, including RFP responses.
Possess a B.Tech. or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Bring a minimum of 8 years of professional experience in Solution Designing for Deep Learning, High-Performance Computing, and Cloud environments. Demonstrate extensive experience with DevOps practices, including but not limited to Docker/Containers and Kubernetes, alongside data center deployments. Exhibit strong analytical and problem-solving capabilities, with the ability to multitask effectively in a fast-paced, dynamic setting. Communicate complex ideas clearly through excellent written and oral English communication skills, fostering collaboration with management and engineering teams. Highlight your deep understanding of dense data center design components, encompassing MEP, compute, storage, and networking. Experience with modern AI & Cloud stacks, including Deep Learning software architecture and frameworks, is highly advantageous.
Nvidia
Technology